Job Description

Your daily tasks:

• Building and maintaining data pipelines to collect and store data from various sources and in various formats.

• Implementing data transformation and ingestion processes optimized for large-scale data.

• Developing and maintaining Airflow DAGs for workflow scheduling and orchestration.

• Designing and optimizing data storage solutions, including data warehouses and data lakes.

• Implementing comprehensive data quality checks and validation processes.

• Identifying and resolving potential data inconsistencies and production issues.

• Developing custom solutions for data processing requirements.

• Working closely with data analysts and game developers to to understand data requirements.

Qualifications

• At least 2 years of professional experience in data engineering.

• Demonstrated experience building and maintaining production data pipelines.

• Experience with both batch and streaming data processing.

• Proficiency in Python with experience in data manipulation/data science packages (NumPy, pandas, SciPy, PyTorch, Scikit etc).

• Hands-on experience with Apache Spark (preferred PySpark) for large-scale data processing.

• Hands-on experience with Cloud Infrastructure (preferred GCP and AWS).

• Strong experience building and maintaining Airflow DAGs and workflows.

• Extensive experience with data warehousing (e.g. BigQuery - preferred, Snowflake).

• Strong experience with variety API data integration.

• Experience with working with SQL and NoSQL databases.

• Eagerness to learn and improve continuously within our tools, techniques, and industry practices.

• Very good communication and collaboration skills.

• Good command of English.

• Passion for video games.

Nice to have technical skills:

• Experience with data visualization tools (e.g. Power BI, Looker).

• Basic understanding of data security and compliance requirements.

• Experience with monitoring, alerting and logging tools.

• Experience with MLOps tasks.

• Knowledge of Apache Cloud Software tools for batch and streaming processing (Flink, Kafka, Beam, Storm etc.).

• Experience with dbt/dataform analytical pipelines.

• Experience with Google Analytics. 

• Familiarity with Databricks and Delta Tables.

Additional Information

What we can offer:

• A wide array of benefits: private medical care, life insurance, pro-health campaigns, gifts for different occasions.

• An outstanding work atmosphere in a highly-skilled team of professionals, with flexible working hours, no dress code, and full support of the dedicated HR Business Partner.

• Many opportunities for personal development: a dedicated development budget for each employee, extra two paid days for training and CSR, stable career paths, extensive internal and external training, and financing of English and Polish language classes.

• State-of-the-art offices filled with chillout zones, a fully equipped kitchen, a gym (Wrocław office), and a free car park (Warsaw limited amount of space).